For Developers

OpenAI-compatible. Every model.

Point your existing OpenAI SDK at https://llm.smoo.ai/v1 and ship. Your virtual key is the only thing that changes.

Quickstart

curl

curl https://llm.smoo.ai/v1/chat/completions \
  -H "Authorization: Bearer $SMOOAI_LLM_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-haiku-4-5",
    "messages": [{"role": "user", "content": "ping"}]
  }'

python

from openai import OpenAI

client = OpenAI(
    api_key=os.environ["SMOOAI_LLM_KEY"],
    base_url="https://llm.smoo.ai/v1",
)

resp = client.chat.completions.create(
    model="claude-haiku-4-5",
    messages=[{"role": "user", "content": "ping"}],
)
print(resp.choices[0].message.content)

typescript

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env.SMOOAI_LLM_KEY,
  baseURL: 'https://llm.smoo.ai/v1',
});

const resp = await client.chat.completions.create({
  model: 'claude-haiku-4-5',
  messages: [{ role: 'user', content: 'ping' }],
});
console.log(resp.choices[0].message.content);

Why it's smoother than DIY

Every frontier model

OpenAI, Anthropic, Groq, Gemini, ElevenLabs out of the gate. Provider expansion (xAI, DeepSeek, Mistral, Bedrock) ships when keys are added.

Zero proxy overhead

Direct calls to the gateway. No Lambda cold start, no smooai middleware in the path. Same LiteLLM auth + rate limit you would self-host.

Built-in playground

Test prompts in /chat_ui without writing code. SSO from your smooai login — same workspace, no separate auth.

Drop-in compatibility

OpenAI SDK, LangChain, LlamaIndex, Vercel AI SDK — anything that takes a base URL works unchanged.

Live API docs

Full Swagger UI + OpenAPI spec at /docs. Auto-generated client types for every supported model.

Streaming, tool use, JSON mode

Everything the upstream model supports works through the gateway. Pass-through for kwargs the OpenAI shape does not cover.